org.moeaframework.util.weights
Class RandomGenerator

Generates weights randomly. This is the method proposed in [1] to replace
the normal boundary intersection method in the original MOEA/D. If N
weights are requested, this method first generates 50*N random
weights. From these weights, N are selected that are maximally
distant from all other weights.

References:

Zhang, Q., et al. "The Performance of a New Version of MOEA/D on
CEC09 Unconstrained MOP Test Instances." IEEE Congress on Evolutionary
Computation, 2009.